Classification of health deterioration by geometric invariants.

Journal: Computer methods and programs in biomedicine
PMID: 37276760

Abstract

BACKGROUND AND OBJECTIVES: Prediction of patient deterioration is essential in medical care, and its automation may reduce the risk of patient death. The precise monitoring of a patient's medical state requires devices placed on the body, which may cause discomfort. Our approach is based on the processing of long-term ballistocardiography data, which were measured using a sensory pad placed under the patient's mattress.

Authors

  • Dalibor Cimr
    Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic.
  • Damian Busovsky
    Faculty of Science, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic.
  • Hamido Fujita
    Faculty of Software and Information Science, Iwate Prefectural University (IPU), Iwate 020-0693, Japan.
  • Filip Studnicka
    Faculty of Science, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic.
  • Richard Cimler
    Faculty of Science, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic.
  • Toshitaka Hayashi
    Faculty of Science, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic.

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